Agiloft

The global standard in no-code contract lifecycle management (CLM) software.

Staff Software Engineer – Cloud Services

Cloud EngineerCloud EngineerFull TimeRemoteTeam 201-500Since 1991H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

37 days ago

Salary

Not specified

Bachelor Degree10 yrs expEnglishAWSCloudDistributed SystemsJavaPythonSDLCTerraform

Job Description

• Own the architecture of one or more critical cloud service domains, with responsibility for design integrity, scalability, reliability, security, and technical debt management over time. • Act as the architectural steward for AWS-based services, ensuring systems remain scalable, resilient, cost-efficient, secure, and maintainable as customer and platform demands grow. • Define service boundaries, APIs, data contracts, and integration patterns that enable independent evolution of cloud services. • Drive cloud-native design principles, including stateless services, managed services adoption, and failure-tolerant architectures. • Lead the planning and execution of cloud architecture improvements that enhance scalability, availability, performance, and operational efficiency. • Translate architectural vision into mid- and long-term technical roadmaps, balancing near-term delivery with long-term cloud sustainability and cost optimization. • Drive cross-team alignment on design standards and architectural trade-offs. • Partner with CloudOps teams to define reliability targets, disaster recovery strategies, and operational readiness standards. • Champion modern cloud-native development practices, including infrastructure-as-code, automated testing, continuous delivery, and observability-by-default. • Lead adoption of AI-assisted software engineering for cloud service development, infrastructure definition, testing, troubleshooting, and refactoring. • Design cloud services and infrastructure that are AI-friendly by design, enabling safer automation, faster iteration, and improved operational insight. • Collaborate with engineering leadership to establish best practices and guardrails for responsible, secure use of AI tools across the cloud SDLC. • Set and uphold high standards for service reliability, security, observability, performance, and cost management. • Drive improvements to developer experience for cloud services, including local development, CI/CD pipelines, deployment workflows, and operational tooling. • Ensure architectural decisions, service contracts, and operational runbooks are well-documented, discoverable, and actionable. • Promote a strong culture of ownership and continuous improvement. • Mentor senior and mid-level engineers, raising the bar for cloud architecture, distributed systems design, and operational thinking. • Serve as a technical multiplier—unblocking teams, accelerating architectural decisions, and reducing long-term operational complexity. • Communicate complex cloud and systems concepts clearly to both technical and non-technical stakeholders. • Stay ahead of industry trends in AWS services, cloud-native architectures, AI-enabled operations, and DevOps practices, driving pragmatic adoption where it delivers clear business value.

Job Requirements

  • Bachelor’s and/or master’s degree in computer science, Information Systems, Software, Electrical, or Electronics Engineering, or a comparable field of study.
  • 10+ years of professional software engineering experience,
  • 2+ years at staff level.
  • Strong proficiency in Python, with working experience in Java, building backend- and cloud-based services.
  • Deep experience designing, building, and operating scalable enterprise-grade applications on AWS
  • Demonstrated experience owning and evolving architecture for complex, distributed, and long-lived cloud platforms.
  • Proven ability to lead service refactoring, software architecture modernization, and platform evolution initiatives while maintaining delivery velocity.
  • Strong experience with infrastructure-as-code and automation tools such as Terraform or CloudFormation.
  • Experience designing and evolving CI/CD pipelines for cloud services.
  • Strong understanding of observability, including logging, metrics, tracing, and alerting in distributed systems.
  • Proficiency with AI-assisted development processes and tools.
  • Ability to reason holistically about distributed systems while diving deep into critical technical details when needed.
  • Exceptional problem-solving skills with a track record of making sound architectural and operational trade-offs.
  • Demonstrated ability to influence technical direction across teams through expertise, communication, and trust.
  • Excellent written and verbal communication skills, particularly around architecture, risk, reliability, and long-term technical strategy.

Benefits

  • Floating holidays
  • Quarterly wellness day
  • Commitment to a diverse and inclusive workplace

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